Adwait Ratnaparkhi

Also published as: A. Ratnaparkhi


2021

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Athena 2.0: Contextualized Dialogue Management for an Alexa Prize SocialBot
Juraj Juraska | Kevin Bowden | Lena Reed | Vrindavan Harrison | Wen Cui | Omkar Patil | Rishi Rajasekaran | Angela Ramirez | Cecilia Li | Eduardo Zamora | Phillip Lee | Jeshwanth Bheemanpally | Rohan Pandey | Adwait Ratnaparkhi | Marilyn Walker
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing: System Demonstrations

Athena 2.0 is an Alexa Prize SocialBot that has been a finalist in the last two Alexa Prize Grand Challenges. One reason for Athena’s success is its novel dialogue management strategy, which allows it to dynamically construct dialogues and responses from component modules, leading to novel conversations with every interaction. Here we describe Athena’s system design and performance in the Alexa Prize during the 20/21 competition. A live demo of Athena as well as video recordings will provoke discussion on the state of the art in conversational AI.

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Resolving Prepositional Phrase Attachment Ambiguities with Contextualized Word Embeddings
Adwait Ratnaparkhi | Atul Kumar
Proceedings of the 18th International Conference on Natural Language Processing (ICON)

This paper applies contextualized word embedding models to a long-standing problem in the natural language parsing community, namely prepositional phrase attachment. Following past formulations of this problem, we use data sets in which the attachment decision is both a binary-valued choice as well as a multi-valued choice. We present a deep learning architecture that fine-tunes the output of a contextualized word embedding model for the purpose of predicting attachment decisions. We present experiments on two commonly used datasets that outperform the previous best results, using only the original training data and the unannotated full sentence context.

2015

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Belief Tracking with Stacked Relational Trees
Deepak Ramachandran | Adwait Ratnaparkhi
Proceedings of the 16th Annual Meeting of the Special Interest Group on Discourse and Dialogue

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A TV Program Discovery Dialog System using recommendations
Deepak Ramachandran | Mark Fanty | Ronald Provine | Peter Yeh | William Jarrold | Adwait Ratnaparkhi | Benjamin Douglas
Proceedings of the 16th Annual Meeting of the Special Interest Group on Discourse and Dialogue

2001

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Question Answering Using Maximum-Entropy Components
Abraham Ittycheriah | Martin Franz | Wei-Jing Zhu | Adwait Ratnaparkhi
Second Meeting of the North American Chapter of the Association for Computational Linguistics

2000

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Trainable Methods for Surface Natural Language Generation
Adwait Ratnaparkhi
1st Meeting of the North American Chapter of the Association for Computational Linguistics

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Book Reviews: Syntactic Wordclass Tagging
Adwait Ratnaparkhi
Computational Linguistics, Volume 26, Number 3, September 2000

1998

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Statistical Models for Unsupervised Prepositional Phrase Attachment
Adwait Ratnaparkhi
36th Annual Meeting of the Association for Computational Linguistics and 17th International Conference on Computational Linguistics, Volume 2

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Statistical Models for Unsupervised Prepositional Phrase Attachment
Adwait Ratnaparkhi
COLING 1998 Volume 2: The 17th International Conference on Computational Linguistics

1997

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A Linear Observed Time Statistical Parser Based on Maximum Entropy Models
Adwait Ratnaparkhi
Second Conference on Empirical Methods in Natural Language Processing

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A Maximum Entropy Approach to Identifying Sentence Boundaries
Jeffrey C. Reynar | Adwait Ratnaparkhi
Fifth Conference on Applied Natural Language Processing

1996

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A Maximum Entropy Model for Part-Of-Speech Tagging
Adwait Ratnaparkhi
Conference on Empirical Methods in Natural Language Processing

1995

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University of Pennsylvania: Description of the University of Pennsylvania System Used for MUC-6
Breck Baldwin | Jeff Reynar | Mike Collins | Jason Eisner | Adwait Ratnaparkhi | Joseph Rosenzweig | Anoop Sarkar | Srinivas
Sixth Message Understanding Conference (MUC-6): Proceedings of a Conference Held in Columbia, Maryland, November 6-8, 1995

1994

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A Maximum Entropy Model for Prepositional Phrase Attachment
Adwait Ratnaparkhi | Jeff Reynar | Salim Roukos
Human Language Technology: Proceedings of a Workshop held at Plainsboro, New Jersey, March 8-11, 1994

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Decision Tree Parsing using a Hidden Derivation Model
F. Jelinek | J. Lafferty | D. Magerman | R. Mercer | A. Ratnaparkhi | S. Roukos
Human Language Technology: Proceedings of a Workshop held at Plainsboro, New Jersey, March 8-11, 1994